25-10-2017, 11:37 PM
Please can you help me to get the code for blood vessel extraction in retinal images
Python and opencv
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blood vessel extraction opencv python
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Please can you help me to get the code for blood vessel extraction in retinal images
Python and opencv
26-10-2017, 09:14 AM
In the literature there is a variety of blood vessel extraction techniques (BVE), but they do not always lead to acceptable solutions, especially in the presence of anomalies where the reported work is limited. Four techniques for BVE are presented: (1) BVE using Image Line Cross-Sections (ILCS), (2) BVE using Edge Enhancement and Edge Detection (EEED), (3) BVE using Modified Matched Filtering (MMF) BVE using the Continuation Algorithm (CA). These four techniques have been specially designed for abnormal retinal images containing low contrasts of vessels, druses, exudates and other artifacts. The four techniques were applied to 30 abnormal retinal images, and the success rate was 95-99% for CA, 88-91% for EEED, 80-85% for MMF, and 74-78% for ILCS. The application of these four techniques to 105 normal retinal images gave better results: (99-100%) for CA, (96-98%) for EEED, (94-95%) for MMF and (88-93%) for ILCS . . Research revealed that the four techniques in order to increase performance could be organized as ILCS, MMF, EEED and CA. Here we demonstrate these four techniques for abnormal retinal images only. ILCS, EEED and CA are new additions, while MMF is an improved and modified version of an existing combined filtering technique. CA is a promising technique.
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